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With the labeled seed super-pixels, a merging strategy is designed to realize adaptive region merging.
A reaction then takes place that makes any well containing a bead with the labeled target molecule fluoresce.
The left and right hands will interact differently with the labeled ball.
Compared with the labeled mAbs without metal, the mAb metal complexes were found to display enhanced emission intensity and shortened lifetime due to interactions between fluorophores and metal.
Magnetic beads bound to anti-FITC antibody were reacted with the labeled pool of chromosomes and separated by exposure to a magnetic field.
Then, the RBM2 with these initial features is trained with the labeled training data.
A baseline method is tested using an SVM classifier trained only with the labeled target data.
There are three baseline methods tested where different classifiers are trained with the labeled source data.
The next step is to train a classifier using the transformed latent features with the labeled source data.
Then, in second stage, supervised training is performed with the labeled data to fine tune the weights.
The cell morphology images of HeLa cells at different times after the PDT were acquired by a confocal microscope with the labeled F-actin.
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